Environmental Data Scientist - Restoration & Impact

Industrial Economics, Incorporated; Cambridge (MA); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health Insurance with HSA

Retirement savings contributions

Employee Assistance Program

Flexible vacation/holiday time

Commuter benefits

Job summary

Industrial Economics, Incorporated (IEc) is seeking a Scientist to support natural resource damage assessment, oil spill assessment, environmental impact analyses, and restoration planning in Cambridge, MA. The role involves handling large environmental datasets, performing quantitative analyses, GIS work, and preparing technical documents.

The position requires a Master’s or PhD in a relevant field and experience with Python/R data analysis.

Qualifications

• Master's degree or PhD (or international equivalent) in ecology, biology, toxicology, geology, chemistry, hydrogeology, hydrology, or similar field.
• Demonstrated experience with data analysis in a scripting or database environment (e.g., Python, R).
• One quantitative skill such as GIS, geostatistics, relational database design, or other science proficiency.

Responsibilities

• Gather, manage, and evaluate large environmental datasets and perform quantitative analyses.
• Synthesize information, write reports, and present findings to clients.
• Review remedial and technical documents and create study plans and restoration planning documents.
• Lead data management and QA for large environmental chemistry datasets and spatial analyses.

Skills

Python/R scripting

Data analysis

GIS

Education

Master's degree or PhD in ecology/biology/toxicology/geology/hydrogeology

Job description

Industrial Economics, Incorporated (IEc) is seeking a Scientist to support natural resource damage assessment, oil spill assessment, environmental impact analyses, and restoration planning in Cambridge, MA. The role involves handling large environmental datasets, performing quantitative analyses, GIS work, and preparing technical documents.

The position requires a Master’s or PhD in a relevant field and experience with Python/R data analysis.